Abstract
Improving industrial green total factor productivity (GTFP) is essential for achieving high-quality industrial development in China. To explore this perspective, we examined 30 provinces as case samples and applied a fuzzy-set qualitative comparative analysis in order to analyze the factors of technological innovation, human capital, green consumption, environmental regulation, the Internet, and external openness in relation to industrial GTFP. The findings of this study show that the configuration path of industrial GTFP has multiple concurrencies. Specifically, three paths were identified as leading to high industrial GTFP, namely, the “total factor type”, “open-technology drive type”, and “technology-human drive type”. Meanwhile, the two configuration paths of non-high-industrial GTFP displayed an asymmetric relationship. Overall, these findings are crucial in revealing the path to improving industrial GTFP and achieving high-quality industrial development in China. The “total-factor-type” and “open-technology-drive-type” paths were the most prevalent in the eastern region, while the central area leaned more towards the “technology-human drive type”. This study offers valuable recommendations and insights for policymakers and scholars interested in promoting the development of industrial GTFP.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
